Posts Categorized: Pythian
How many times have we heard the assurance of storage administrators (fueled by the SAN vendor’s claims) that their top-of-the-shelf SAN arrays simply cannot fail. Unfortunately, reality proves this wrong and we see it regularly with our customers. At the moment of this writing, one of our DBA teams has just completed failover to the standby database as a result of a database crash caused by a SAN issue. Is there a silver bullet? Well, not as solution but as a concept, yes — simply admit that SANs do fail — this what should drive infrastructure design for business continuity. Actually, I should extrapolate it to another design principle — everything fails, but that’s another story.
The “Beer” version of DBD::Oracle (1.24) has been released. You can find it at CPAN DBD::Oracle. DBD::Oracle is a Perl module that works with the DBI module to provide access to Oracle databases. It is maintained by me, John Scoles, under the auspices of Pythian as Open Source/Free Software. This is largely a maintenance release that fixes a number of bugs. New stuff includes some more improvements to embedded types from Charles Jardine. Find out more here.
There are a lot of discussions going on in the Internet regarding whether we can trust third parties to look after our data. I am not going to add fuel to the fire. I am going to show you how simple it is to backup an Oracle database to the Storage Cloud using the Oracle Secure Backup (OSB) Cloud Module.
Welcome, everyone, to the 177th edition of Log Buffer, the weekly review of database blogs. It was another week heavy with technical posts, so let’s waste no time, and get it all started with . . .
This is the third post in Oracle GoldenGate Extract Internals series (links to part I and part II). In this post, we’re going to take a closer look at various queries that the Extract process uses against the database. As before, we will start by examining the strace output.
I was asked, the other day, to automate the creation of a client’s weekly report, which is a pivot table of some aggregate data generated by a query. I’ve written a set of fairly simple PL/SQL code that handles this task in all versions of Oracle that supports associative nested VARRAYs (I have no clue when that started getting supported. It sure works great with 10g). Here is how my code works.
The call for proposals for Birds of a feather sessions closes at 11:59 pm PST on Thursday, February 18th, 2010. Sessions can be added during the conference, but if you submit and your BoF is accepted it will be printed in the schedule.
Ronald Bradford’s recent warning to be sure to know your my.cnf sections reminded me of a similar issue that I ran into last summer, where putting the “group” option in both the [mysqld_safe] and [mysqld] directives resulted in a mostly silent problem. I started noticing this in MySQL 5.1 and it affected both the official MySQL binary and the Percona binary. In trying to be conscientious, I had the following set..
A quick update on the Pythian/Oracle partnership, and what it’s like to be an OPN Platinum partner. So far, it’s been really worthwhile, in under a month from the signing, Oracle has begun sending us amazing quality leads!
Today we continue looking at various aspects of how the Oracle GoldenGate extract process works. One of the follow up questions to part I was about the way the Extract process reads from ASM storage. I’ve provided the answer, however, today we’re going get a detailed look at how the Extract process interacts with an ASM instance and what kind of implications may result. Let’s take a look at what changes in the Extract process loop when it reads from ASM storage: